CIO Business Intelligence
MARCH 30, 2022
While business leaders have the greatest insight about the organization’s needs and objectives (and likely have new ideas on how to achieve those objectives), the CIO has the greatest knowledge of what is possible — along with an understanding of emerging technologies and how they can be used. Ghislaine Entwistle. perhaps, ….”organize
Smart Data Collective
SEPTEMBER 15, 2021
This very architecture ingests data right away while it is getting generated. It may consist of several components for different purposes, such as software for real-time processing, data manipulation and real-time data analytics. Processing of pieces of data in real-time is possible because of the streaming data option.
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CIO Business Intelligence
AUGUST 9, 2023
Digital transformation defined Digital transformation has become a catchall term for describing the implementation of digital technologies to re-engineer existing processes or develop new services that better engage customers, support employees, improve business operations, and drive business value to the organization’s bottom line.
AWS Big Data
MAY 3, 2023
With this capability, businesses can stay ahead of the curve and develop new initiatives that drive success. This post is a continuation of How SOCAR built a streaming data pipeline to process IoT data for real-time analytics and control. SOCAR has deployed in-car devices that capture data using AWS IoT Core.
CIO Business Intelligence
JULY 17, 2023
It’s about possessing meaningful data that helps make decisions around product launches or product discontinuations, because we have information at the product and region level, as well as margins, profitability, transport costs, and so on. How is Havmor leveraging emerging technologies such as cloud, internet of things (IoT), and AI?
CIO Business Intelligence
JULY 24, 2023
Narayaran says he has also seen CIOs make big plays with their data programs, investing in the technology infrastructure needed to bring together and analyze data sets to create new services or products and drive business objectives such as improved customer retention and customer stickiness.
Sisense
MAY 11, 2021
You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity.
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